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Beever Atlas

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by Beever-AI
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    One endpoint for every MCP toolRayrun runs every MCP server behind one URL and holds the credentials. Each call is decided per client, tool, and argument, then recorded.ray.runAd

    TDQS

    A4.7/5.0

    Scored across 28 tools

    Disambiguation5/5

    Each tool has a clearly distinct purpose, with descriptions that explicitly contrast similar tools (e.g., find_facts vs. search_channel_facts vs. ask_channel, or read_wiki_page vs. read_wiki_module). Overlapping functionality is minimal and well-documented.

    Naming Consistency5/5

    All tool names follow a consistent verb_noun pattern in snake_case (e.g., list_channels, find_facts, read_provenance). There is no mixing of naming conventions, making the set predictable.

    Tool Count4/5

    28 tools is on the higher end but appropriate for the server's complex domain (knowledge management with multiple search modes, wiki operations, decision tracking, etc.). The count feels slightly heavy but each tool earns its place.

    Completeness5/5

    The tool set covers the full lifecycle: channel discovery, multiple retrieval methods, wiki management (both legacy and redesigned), decision history, tensions, experts, media search, relationship graphs, job tracking, and sync. Obvious gaps (e.g., fact deletion) are intentionally omitted as read-only. The deprecated tool is a minor blemish.

    Maintenance

    ActivityStale
    ResponsivenessWithin a week

    Resources